Tag Archive: in-memory analytics

SAP APJ FKOM 2014 – Feedback

I recently attended the 2014 SAP APJ (Asia-Pacific-Japan) Field Kick-Off conference in Singapore. It is an annual regional event held by SAP to kick-start the year for sales staff and partner channels combined. Other similar regional events are held in China (recently split off from APJ), Europe and the Americas. It is very interesting how …

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In-memory data warehouses

In a previous post on in-memory databases I gave a high level overview of SAP HANA, Oracle TimesTen and IBM’s solidDB. In this post I discuss temperature-based memory management for data warehousing, as implemented in the Teradata Intelligent Memory release. Databases with a large in-memory capacity have an appeal for on-line transactional applications, as well …

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Using Analytics to Prevent Fraud in Healthcare

While fraud may be a concern for many busy business professionals and organisational decision makers today, the evidence suggests it is becoming more  prevalent in the healthcare industry. The amount of data that goes through healthcare systems on a daily basis is phenomenal. Applying advanced analytics to all that data can assist in combatting fraud. …

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CIO Dashboard – part II

In a previous post I discussed three areas that the CIO’s dashboard should address, namely proliferation and penetration, users and usage and some of the more important data quality measures. In this post I discuss more of the aspects that the CIO should be tracking, from the point of view of being the executive ultimately responsible …

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Real-Time Predictive Analytics

Applying predictive analytics to real-time data feeds should be done to not only make better business decisions faster, but also to optimise potential opportunities as they materialise, react quicker to possible threats and mitigate any potential risks within the broader business. However, implementing real-time advanced analytics requires a different approach and a different toolset.

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